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Reproducing qualitative irregularity ratings by means of quantitative shape descriptors in intracranial aneurysms. The platform has the In essentially all applied sciences, data-driven modeling heavily relies on a sound calibration of model parameters to measured data for making probabilistic predictions. Bayesian statistics is a consistent framework for parameter inference where knowledge about model parameters is expressed through probability distributions and updated using Please also refer to our Network pages to read more about our memberships, national and international research partners and customers.

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